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Human Genetics

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

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Genetically Predicted Milk Intake and Risk of Neurodegenerative Diseases.

Zhizhong Zhang¹, Mengmeng Wang², Shuai Yuan³

¹Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.

|August 27, 2021

Summary

This study used genetic data to investigate if milk intake causally affects neurodegenerative diseases. Higher milk intake may reduce risk for multiple sclerosis (MS) and Alzheimer's disease (AD) but increase Parkinson's disease (PD) risk.

Keywords:

causal effect milk neurodegenerative disease

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Published on: December 16, 2015

Area of Science:

Neuroscience
Genetics
Epidemiology

Background:

Observational studies suggest a link between milk consumption and neurodegenerative disease risk.
Causal relationships between milk intake and neurodegenerative diseases remain unclear.

Purpose of the Study:

To investigate the potential causal association between genetically predicted milk intake and major neurodegenerative diseases.
To evaluate the impact of milk consumption on the risk of multiple sclerosis (MS), Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), and Parkinson's disease (PD).

Main Methods:

Employed a Mendelian randomization design using the lactase persistence variant rs4988235 (LCT-13910 C > T) as an instrumental variable for milk intake.
Utilized large-scale genome-wide association study (GWAS) data for MS, AD, ALS, and PD from multiple international consortia.

Main Results:

Genetically predicted higher milk intake was associated with a reduced risk of MS (OR: 0.94, 95% CI: 0.91-0.97) and AD (OR: 0.97, 95% CI: 0.94-0.99).
Genetically predicted higher milk intake showed an increased risk for PD (OR: 1.09, 95% CI: 1.06-1.12).
No significant association was found between genetically predicted milk intake and ALS risk (OR: 0.97, 95% CI: 0.94-1.01).

Conclusions:

Genetically predicted milk intake appears to have differential causal effects on neurodegenerative diseases.
Results suggest a protective role against MS and AD, but a potential risk factor for PD.
Further research is warranted to elucidate the biological mechanisms underlying these associations.